# Senior Machine Learning Engineer at TD Bank

TD Bank is hiring a Senior Machine Learning Engineer in Toronto, Canada. Level rates it Little AI ●○○○; you can [apply on TD Bank](https://jobsbylevel.com/go/ba0c8039-9c63-4a94-8507-d482dbf468c1?utm_medium=ai-agent).

AI Level 1, AI centrality 34 out of 100. Toronto, Ontario.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 34 out of 100)
- Location: Toronto, Ontario
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/ba0c8039-9c63-4a94-8507-d482dbf468c1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-machine-learning-engineer-at-td-bank-7dda73

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-td-bank-7dda73

## Description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $187,500 - $261,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Design, build, and operate AI-powered products, platforms, and agentic workflows that accelerate and improve the Product Development Lifecycle (PDLC). Enable software engineers, quality engineers, architects, product owners, business analysts, release managers, and other technology practitioners to deliver better outcomes through responsible use of AI. CUSTOMER Partner directly with PDLC professions to identify workflow friction, validate opportunities, and deliver AI-enabled solutions that improve productivity, quality, security, and developer experience. Provide expertise in multiple ML engineering and/or infrastructure areas, senior technical leadership in support of the Banks objectives related to the overall Engineering function across multiple projects & high impact outcomes. Design and implement agentic workflows and multi-agent systems; design tool-calling and MCP integrations; implement memory, context management and observability capabilities; create reusable AI skills, prompts, workflows. Design AI solutions that comply with enterprise AI governance requirements, including security, privacy, model risk, data protection, and responsible AI standards. Define success metrics and measure realized value through telemetry, user feedback, workflow analytics, and business outcomes. Research advanced technologies for relevant specialized area of Engineering, develop and document high level and low-level design of respective AI/ML engineering systems. Lead and support Engineering and/or Infrastructure projects and designs on an enterprise basis covering US, Canada, and international sites (if required). Act as thought leader, innovator, and agent of change for the programs and services under executive management impacting and influencing organizational direction to meet longer term strategic objectives. Work in close partnership with technology teams to support TD's business objectives and operational support goals and provide domain expertise on strategic Infrastructure as well as Business project related activities (including both Change the Bank and Run the Bank programs). Engage executive stakeholders appropriately to review progress and obtain input, validation, and approval of key decisions. Anticipate client needs to identify appropriate solutions and to influence the development of innovative solutions SHAREHOLDER Adhere to enterprise frameworks or methodologies that relate to activities for our business area. Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities. Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate. Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets) Participate in

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Source: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-td-bank-7dda73

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Level. https://jobsbylevel.com/jobs/senior-machine-learning-engineer-at-td-bank-7dda73.

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